Metering device clock error trend prediction method based on social perception
A clock error and metering device technology, applied in prediction, neural learning methods, calculations, etc., can solve problems such as clock error, lack of analysis and utilization of massive historical error records, inaccurate clock synchronization signals, etc., to achieve the goal of solving the problem of clock error Effect
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[0034] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0035] The goal of the present invention is to mine the different patterns of clock error trends by analyzing the past time error records of electric energy metering equipment, and use machine learning technology to realize the prediction of the future clock error range. Therefore, the model of the present invention does not rely too much on domain knowledge and artificial priors, so it is not limited to specific devices and causes of errors, and can be adapted to different scenarios, thereby providing a more general solution to solve the problem of generalization Power device clock error problem.
[0036] The model adopted in the present invention is a time series evolution gene model, which is the latest neural network model based on cyclic neural network and generation confrontation network. For the clock error of the electric me...
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